evaluating function of persian search engines on the web using correspondence analysis

نویسندگان

m. a. erfanmanesh ph. d. student, um university

f. didegah m. s., shiraz university

چکیده

this study aimed to evaluate persian search engines based on the criteria obtained from alexa databank using correspondence analysis. through searching the web, 23 search engines were found, which due to their cease and no coverage by alexa, this number was reduced to 16. data analysis revealed that ghatreh search engine occupied a high rank in most of attributes like traffic rank, time spent on site and number of pages viewed per user. iranmania search engine attained the largest number of links among other search engines. jostejoogar search engine attracted the largest number of foreign users whilst begardim search engine had no foreign users. correspondence analysis classified the 16 search engines into three groupings which were related on the basis of certain attributes.

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عنوان ژورنال:
international journal of information science and management

جلد ۸، شماره ۲، صفحات ۷۷-۸۷

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